
Entropy | An Open Access Journal from MDPI
Entropy Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI.
Entropy - MDPI
The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas. It was originally introduced by Clausius in 1865 along abstract lines …
Entropy | Aims & Scope - MDPI
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes.
Entropy and Complexity Tools Across Scales in Neuroscience: A …
Jan 24, 2025 · Two key concepts, entropy and complexity, have been increasingly employed by neuroscientists as powerful tools for characterizing the interplay between structure and …
Entropy | Special Issues - MDPI
Entropy publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new …
Approximate Entropy and Sample Entropy: A Comprehensive …
May 28, 2019 · Approximate Entropy and Sample Entropy are two algorithms for determining the regularity of series of data based on the existence of patterns. Despite their similarities, the …
Editorial Board | Entropy | MDPI
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Entropy: From Thermodynamics to Information Processing - MDPI
Oct 14, 2021 · Entropy is most commonly defined as “disorder”, although it is not a good analogy since “order” is a subjective human concept, and “disorder” cannot always be obtained from …
Entropy Generation and Human Aging: Lifespan Entropy and Effect …
Jun 20, 2008 · From the analysis of the effect of different activity levels, it is shown that entropy generated increases with physical activity, suggesting that exercise should be kept to a …
Applications of Entropy in Data Analysis and Machine Learning: A …
Dec 23, 2024 · Precisely, this paper aims to provide an up-to-date overview of the applications of entropy in data analysis and machine learning, where entropy stands here not only for the …